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Statistics with R Notes
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Table of contents
1
Introduction
2
Linear Regression
3
Classification
4
Resampling Methods
5
Linear Model Selection and Regularization
6
Moving Beyond Linearity
7
Tree Based Methods
8
Support Vector Machines
9
Deep Learning
10
Survival Analysis
11
Unsupervised Learning
12
Multiple Testing
11
Unsupervised Learning
TBD
10
Survival Analysis
12
Multiple Testing
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11
Unsupervised Learning